לוח משרות דרושים ניהול ביניים משרה מלאה, לחיפוש זה נמצאו 1,111 משרות

Requirements:
8+ years of product management experience building platform products at scale, with a track record of thinking architecturally and owning products from 0 to 1
Proven ability to define product vision, build roadmaps from scratch, and make the hard calls on what to build and why
Hands-on with AI tools - you don't just follow trends, you actively use AI to move faster and make better product decisions
Experience taking products from 1 to a billion, with a track record of overseeing complex adoption and integration efforts
Cross-team leadership experience with a history of aligning stakeholders and driving complex, multi-team initiatives forward
A computer science degree or substantial hands-on development experience
Ready to work in an office environment most days of the week

Requirements:
Who You Are:
A seasoned backend engineer with deep expertise in designing and building distributed systems
Comfortable influencing technical direction without direct management authority, operating as a technical leader and mentor
Interested in working on an early stage project with many challenges to solve and a fast iteration cycle
You have a track record of delivering high-quality software products on schedule and collaborating closely with product partners
Strong technician, particularly with Go, Java or SQL, who is interested in remaining a hands-on contributor
Youre excited about leveraging AI tools to enhance how you code, solve problems, and build - or eager to learn how
You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output
Bonus: youre motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products

Requirements:
Who You Are:
Youre a backend engineer with at least 5 years of professional experience who values code simplicity and performance. Youve shipped software that uses LLMs to production
You are passionate about Generative AI and its ability to help software engineers be more productive
You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields
You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution
You want to work in a fast, high-growth startup environment that respects its engineers and customers
You have experience writing classic or AI oriented developer tools(such as IDEs, static code analysis, SDLC tools etc).
You have a BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent experience

Requirements:
Who You Are:
You have significant experience in backend or systems-level development, with strong proficiency in Go or similar languages (C/C++)
Youre comfortable working close to the Linux kernel and have experience (or interest) in eBPF, networking, or observability tooling
You care deeply about performance and efficiency
Youve built or operated scalable systems in complex environments and understand how to design for reliability and compatibility
You thrive in a fast-paced, technically deep environment, and are excited to solve hard problems with a small, focused team
Youre excited about leveraging AI tools to enhance how you code, solve problems, and build - or eager to learn how
You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output
Youre motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products

Requirements:
Requirements: 7+ years of experience working with production-environment.
* Extensive experience building and sustaining a fully automated CI/CD solution.
* Experience with CI systems with GitLab and Jenkins.
* High proficiency with git workflows.
* Proven experience in Linux system engineering (configuring, troubleshooting and deployment).
* Extensive experience in coding with Python, Bash, or similar scripting languages.
* Strong understanding of system-level topics and IT infrastructure, including operating systems, storage, networking and firewalls.
* Experience with virtualization and containerized systems (VMware, Docker/Podman)
* Excellent organizational, analytical abilities and problem solving skills
* Demonstrates high initiative and a proactive approach, with the ability to independently define and drive solutions in the DevOps field. Nice to Have:
* Familiarity with version control systems.
* Experience with C/C++ build systems.
* Proficiency in reviewing and optimizing C/C++ code as part of build system optimization.
?About Infinidat Infinidat’s enterprise storage portfolio provides global Fortune 500 enterprises and service providers with best-in-class solutions for primary storage, next-generation data protection, disaster recovery, business continuity, and cyber resilience. Infinidat’s acclaimed InfuzeOS is the one of the most flexible and complete enterprise software-defined storage architectures in the industry. We recently announced powerful enhancements, an extensive expansion, and the dynamic evolution of our award-winning G4 enterprise cyber and AI storage solutions! Not only did Infinidat win over 40 awards in 2025 , but was named a Gartner® Peer Insights™ Voice of the Customer Award for Primary Storage for the 7th time!

Requirements:
What You'll Bring
5+ years of Product Design experience.

Experience designing complex B2B SaaS products.

Strong UX, UI, and design system expertise.

Advanced Figma skills.

Hands-on experience with AI design tools (Figma Make, Magic Patterns, Claude, etc.).

Experience working in fast-paced startup environments.

Excellent collaboration and communication skills.

High ownership, curiosity, and an AI-first mindset.

Nice to Have
Experience with Construction Tech, Safety, Compliance, or Field Operations.

Mobile-first product design experience.

Experience with enterprise platforms, dashboards, and data-heavy products

Requirements:
What You Should Have for the Role:
3+ years of experience in Software QA.
Experience testing SaaS web applications and REST APIs.
Hands-on experience with API testing tools such as Postman.
Experience with test automation tools such as Playwright, Selenium, Cypress or similar.
Familiarity with Python, JavaScript or another scripting language.
Strong analytical and troubleshooting skills.
Excellent attention to detail and communication skills.
Fluent English.
Nice to Have:
Experience with data-intensive products.
Experience in cybersecurity or threat intelligence environments.
Experience with CI/CD pipelines and Agile methodologies.

Requirements:
What we're looking for:
6+ years of backend engineering experience, with strong proficiency in more than one major programming language (such as Python, Java, Go, Rust, or Kotlin).
Solid understanding of AI systems architecture and experience working in environments involving AI agents, LLMs, or inference pipelines.
Proven experience in building and scaling backend APIs, microservices, and background jobs.
Strong experience with relational and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB, Redis), including schema design, data modeling, and query optimization.
Experience with message brokers and distributed systems (e.g., Pub/Sub, Redis Streams, RabbitMQ).
Highly adaptable, a strong team player, with the ability to quickly learn and apply new technologies.

Advantages:
Strong proficiency in Python and/or Node.js/NestJS.
Experience with clinical systems and healthcare data standards (FHIR, EMR/EHR).
Hands-on experience with AI agent frameworks such as LangChain, LangGraph, or LiteLLM.
Experience orchestrating hybrid model stacks combining commercial APIs (OpenAI, Google Gemini) with self-hosted or fine-tuned LLMs.
Familiarity with observability tools for AI systems (Langfuse, OpenTelemetry).

Requirements:
Ideally, were looking for:
3+ years of hands-on experience in DevOps / SRE roles
Proven experience in production environments with high-availability systems and on-call responsibility
Strong hands-on experience with: AWS (production environments), Kubernetes (K8s) and Helm charts, Docker / containerized systems
Experience building and maintaining CI/CD pipelines (Jenkins, Argo Workflows)
Hands-on experience with Terraform or similar IaC tools
Experience working with Linux and Windows systems
Strong understanding of networking concepts and troubleshooting (TCP/IP, DNS, load balancing, connectivity debugging)
Hands-on experience with monitoring and observability tools (e.g., Prometheus, Coralogix, or similar)
Familiarity with data layer technologies such as MSSQL, MongoDB, and Redis

These would also be nice:
Experience with AI/ML technologies in production environments
Experience with DevSecOps or DevFinOps practices
Experience with configuration management tools (e.g., Chef) or large-scale distributed systems (media / telecom)

Requirements:
What We re Looking For

Experience: 3+ years of hands-on experience in DFIR, Threat Hunting, SOC, or InfoSec.

OS & Network Internal Expertise: Deep understanding of Windows and Linux operating system essentials, network communications, and compromise footprints.

Malware Analysis: Proven ability to perform dynamic and static malware analysis to extract actionable indicators of compromise (IOCs).

Technical Breadth: Strong grasp of digital forensics methodologies, computer intrusion tactics, security architecture, and system administration.

Mindset: A critical thinker with a proactive, action-oriented approach to problem-solving and excellent attention to detail.

Availability: Ready to tackle confirmed breaches as part of our highest escalation tier, which includes 24/7 availability when critical incidents strike.
Advantages (Nice to Have)

Experience with macOS Forensics or Cloud Incident Response.
Strong time management and communication skills.
Industry-standard certifications such as GCFE, GCFA, GNFA, GCTI, GCIH, or GCIA.

Skills
digital forensics,incident response,threat hunting,infosec,malware analysis,

Requirements:
5+ years of backend development experience
Strong proficiency in High-Level language
Hands-on experience with Kubernetes (K8s)
Experience with databases (SQL or NoSQL)
Experience with queue brokers (e.g., RabbitMQ, Kafka, SQS, etc.)
Experience working with distributed systems or microservices architectures
Solid understanding of REST API design principles
Highly versatile and adaptive engineer (ninja mindset) able to multitask, switch context smoothly, and quickly master new technologies.
Proactive and goal-driven, who takes ownership, drives initiatives, and ensures project completion.
Strong coordination abilities, capable of distributing tasks within a team and guiding execution.
Effective mentor, supporting growth and onboarding of junior engineers.
Independent and self-sufficient, while also an excellent team collaborator.
Experienced with multiple architectures, capable of evaluating system design choices and forming informed technical opinions.
Confident communicator, able to influence direction and express technical viewpoints while also knowing when compromise is appropriate.
Advantages
Familiarity with asyncio
Understanding of networking concepts and network protocols
Experience with JavaScript
Experience with FFmpeg
Experience with CI/CD processes
Familiarity with the cyber world
Experience with MongoDB

Requirements:
A strong technical background, with 7 years of professional, hands-on experience building production-grade applications or systems.
Experience in building end-to-end complex large-scale applications.
Solid fundamentals in data models/structures, algorithms, and object-oriented programming, and knowledge of development best practices.
Strong attention to detail and empathy for the user experience.
Someone who enjoys learning, is self-motivated and has the ability to switch domains as the needs of the company evolve.
Excellent communication skills.
Excellent problem-solving and critical-thinking skills.
Experience with Docker and AWS is a plus.
Fluency with Javascript & TypeScript is a plus.

Requirements:
3+ years of hands-on experience working with AI - building AI-powered solutions, agents, automations, or AI-driven workflows in a professional setting.
3+ years in roles requiring both technical depth and business acumen - such as solution architecture, systems design, technical consulting, product, operations, CS Ops, customer operations, or technology-driven business transformation.
Strong understanding of Customer Success, support operations, customer operations, or post-sale customer journeys.
Ability to translate business problems into practical AI solutions that are adopted by real users.
Strong technical and architectural thinking, including workflow design, integrations, prompt logic, agent behavior, automation, and scalable systems.
Understanding of AI solution design, including prompt engineering, context engineering, agent design, orchestration, workflow automation, integrations, and runtime behavior.
Experience working with operational systems such as Zendesk, Slack, Notion, CRM, knowledge bases, data tools, workflow automation platforms, or similar tools.
Strong execution mindset, with the ability to move from problem definition to prototype, rollout, measurement, and continuous improvement.
Excellent communication and stakeholder management skills, including the ability to present to leaders, facilitate workshops, coach teams, and translate technical concepts into business language.
Strong analytical skills, with the ability to define KPIs, identify patterns, measure impact, and improve performance over time.
High adaptability, curiosity, and comfort working in ambiguity as AI tools and business needs evolve.
Technical education or equivalent practical experience in Computer Science, Information Systems, Industrial Engineering, Data, Operations, or a related field.

Requirements:
10+ years of strong back-end capabilities - engineering leadership while working on a cloud-based, microservice architecture
Proven engineering leadership in designing backend solutions across distributed services.
Demonstrated experience driving change within an organization and leading complex technical projects
Experience with web technologies, and familiarity with scale, latency, and security concerns.
Expertise in high-scale, distributed cloud architectures
Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes
Experience building large-scale infrastructure applications or similar experience
Profound experience working with databases
Cloud experience (AWS is a plus)
Solid programming experience in Ruby
Advantage: Strong knowledge of authentication, authorization, and permission models
Advantage: Strong knowledge in GO
Experience working with Generative AI technologies (GPT, Copilot, Cursor) is a plus